Magnetic body simulation device, micro-magnetization calculation method, and non-transitory computer-readable recording medium having stored therein a program

ABSTRACT

A magnetic body simulation device includes a memory; and a processor coupled to the memory and the processor configured to decide a search section for searching a rotational coefficient of each magnetization vector in a plurality of elements included in a magnetic body, in a process of calculating the each rotational coefficient in a state in which magnetic energy of the magnetic body is minimized, to determine whether or not a first condition is satisfied in which a width of the decided search section is less than or equal to a certain length, and a first rotational coefficient decided by a predetermined method is included in the search section, and to calculate, when the first condition is satisfied, a static magnetic field vector corresponding to the first rotational coefficient by linear interpolation based on static magnetic field vectors at both ends of the search section.

CROSS-REFERENCE TO RELATED APPLICATION

This application is based upon and claims the benefit of priority of the prior Japanese Patent Application No. 2015-211328, filed on Oct. 27, 2015, the entire contents of which are incorporated herein by reference.

FIELD

The embodiment discussed herein is related to a simulation technology of a magnetic body.

BACKGROUND

A micro-magnetic simulation is a method used in theoretical calculation of a magnetic body or a magnetic material. In the micro-magnetic simulation, for example, as illustrated in FIG. 1, a magnetic body 1 m is divided into minute elements. An arrow indicates micro-magnetization. The micro-magnetization is disposed in each element, and the state of micro-magnetization of each element is calculated.

In the micro-magnetic simulation, magnetic energy E_(total) which is the total energy in a system is denoted by the following expression 1.

E _(total) =E _(ani) +E _(exc) +E _(appl) +E _(static)  (1)

Here, E_(ani) is anisotropic energy, E_(exc) is exchange energy, E_(appl) is Zeeman energy, and E_(static) is magnetostatic energy. Furthermore, in order to limit the format, herein, bold face and italic face are not used. The energies are respectively denoted by the following expressions.

$\begin{matrix} {E_{ani} = {\int{{V}\mspace{11mu} {K_{u}\left( {1 - \left( {k \cdot m} \right)^{2}} \right)}}}} & (2) \\ {E_{exc} = {\int{{V}\mspace{14mu} A\left\{ {\left( {\nabla m_{X}} \right)^{2} + \left( {\nabla m_{y}} \right)^{2} + \left( {\nabla m_{Z}} \right)^{2}} \right\}}}} & (3) \\ {E_{appl} = {- {\int{{V}\mspace{14mu} M_{s}{H_{appl} \cdot m}}}}} & (4) \\ {E_{static} - {\frac{1}{2}{\int{{V}\mspace{14mu} M_{s}{H_{static} \cdot m}}}}} & (5) \\ {H_{static} = {- {\nabla\varphi}}} & (6) \end{matrix}$

Here, m is a magnetization vector, m_(x) is an X component of the magnetization vector, m_(y) is a Y component of the magnetization vector, m_(z) is a Z component of the magnetization vector, k is a magnetic anisotropic vector, K_(u) is a magnetic anisotropic constant, A is an exchange coupling constant, M_(s) is saturation magnetization, H_(appl) is an external magnetic field vector, φ is a static magnetic field potential, and H_(static) is a static magnetic field vector.

Then, the static magnetic field potential φ is obtained from the following relational expression.

Δφ=−∇m  (7)

Among the variables described above, variables which are planned to be set in advance at the time of initiating the calculation are m, k, K_(u), A, M_(s), and H_(appl).

In a case where the energies described above are calculated by using a finite element method, a time desired for obtaining the static magnetic field potential φ occupies the majority of a calculation time. This is because in a case where Expression (7) is numerically dissolved, calculation of dissolving a linear simultaneous equation is performed, and thus, a calculation amount considerably increases.

In analysis of the magnetic body, a steady state frequently gives important information relevant to magnetic physical properties. The steady state of the magnetic body is able to be considered as a state in which total energy in the system described above is minimized. Accordingly, when a micro-magnetization state minimizing the total energy in the system is obtained, the steady state of the magnetic body is able to be reproduced. A method of obtaining the micro-magnetization state for minimizing the total energy of the magnetic body is referred to as an energy minimization method.

Inputs to a micro-magnetic simulation program using the energy minimization method (that is, data that a user prepares in advance) is the model of the magnetic body divided into elements, an initial state of the magnetization vector of each element, and the external magnetic field vector. Output form the micro-magnetic simulation program is the state of the magnetization vector of each element which minimizes the magnetic energy.

International Publication Pamphlet No. WO2014/033888, Japanese Laid-open Patent Publication No. 2012-33116, Japanese Laid-open Patent Publication No. 2013-131072, and Japanese Laid-open Patent Publication No. 2006-53908 are examples of related art.

SUMMARY

According to an aspect of the invention, a magnetic body simulation device includes a memory; and a processor coupled to the memory and the processor configured to decide a search section for searching a rotational coefficient of each magnetization vector in a plurality of elements included in a magnetic body, in a process of calculating the each rotational coefficient in a state in which magnetic energy of the magnetic body is minimized, to determine whether or not a first condition is satisfied in which a width of the decided search section is less than or equal to a certain length, and a first rotational coefficient decided by a predetermined method is included in the search section, and to calculate, when the first condition is satisfied, a static magnetic field vector corresponding to the first rotational coefficient by linear interpolation based on static magnetic field vectors at both ends of the search section.

According to another aspect of the invention, a micro-magnetization calculation method includes deciding, by a processor, a search section for searching a rotational coefficient of each magnetization vector in a plurality of elements included in a magnetic body, in a process of calculating the each rotational coefficient in a state in which magnetic energy of the magnetic body is minimized; determining whether or not a first condition is satisfied in which a width of the decided search section is less than or equal to a certain length, and a first rotational coefficient decided by a predetermined method is included in the search section; and calculating, when the first condition is satisfied, a static magnetic field vector corresponding to the first rotational coefficient by linear interpolation based on static magnetic field vectors at both ends of the search section.

The object and advantages of the invention will be realized and attained by means of the elements and combinations particularly pointed out in the claims.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are not restrictive of the invention, as claimed.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a diagram illustrating a magnetic body which is divided into a plurality of elements;

FIG. 2 is a functional block diagram of an information processing device;

FIG. 3 is a functional block diagram of a line search unit;

FIG. 4 is a diagram illustrating a main processing flow;

FIG. 5 is a diagram illustrating a processing flow of a line search process;

FIG. 6 is a diagram illustrating an outline of decision of a search section;

FIG. 7 is a diagram illustrating a processing flow of a search process in the section;

FIG. 8 is a diagram illustrating an outline of the search process in the section;

FIG. 9 is a diagram illustrating a processing flow of a linear interpolation process;

FIG. 10 is a diagram for illustrating shortening of a time desired for a micro-magnetic simulation;

FIG. 11 is a diagram for illustrating the shortening of the time desired for the micro-magnetic simulation;

FIG. 12 is a diagram illustrating one example of an M-H curve; and

FIG. 13 is a functional block diagram of a computer.

DESCRIPTION OF EMBODIMENT

A nonlinear conjugate gradient (NCG) method which is one type of energy minimization methods is frequently used in the micro-magnetic simulation. The calculation of the static magnetic field potential φ which is performed in line search occupies the majority of the calculation time of the micro-magnetic simulation of the NCG method. Accordingly, in a case where the calculation amount of the calculation of the static magnetic field potential φ is able to be reduced, the calculation time of the micro-magnetic simulation is able to be shortened.

In one aspect, an object of the embodiment is to provide a technology for reducing a calculation amount of a micro-magnetic simulation using an NCG method.

FIG. 2 illustrates a functional block diagram of an information processing device 1 of this embodiment. The information processing device 1 includes an input data storage unit 101, an NCG processing unit 10, and an output data storage unit 104. The NCG processing unit 10 includes a line search unit 103 and a processing unit 102 which is, for example, a processor.

The NCG processing unit 10 executes a process based on data stored in the input data storage unit 101, updates the data stored in the input data storage unit 101 based on a processing result, or stores the processing result in the output data storage unit 104. Specifically, the processing unit 102 executes processes other than line search among processes of the NCG method. The line search unit 103 executes line search among the processes of the NCG method.

A model of a magnetic body which is divided into a plurality of elements, data of an initial state of a magnetization vector of each element, and data of an external magnetic field vector are initially stored in the input data storage unit 101. Data of a state of the magnetization vector of each element which minimizes magnetic energy is stored in the output data storage unit 104. Furthermore, the vector of this embodiment is a three-dimensional vector.

FIG. 3 illustrates a functional block diagram of the line search unit 103. The line search unit 103 includes a decision unit 1031, a section data storage unit 1032, a search unit 1033, a rotational coefficient storage unit 1034, a calculation unit 1035, a second vector calculation unit 1036, a vector data storage unit 1037, and a determination unit 1038. The calculation unit 1035 includes a potential calculation unit 10351 and a first vector calculation unit 10352.

The decision unit 1031 executes a process based on the data stored in the input data storage unit 101, and stores a processing result in the section data storage unit 1032. The search unit 1033 executes a process based on the data stored in the section data storage unit 1032 and the data stored in the input data storage unit 101, and stores a processing result in the rotational coefficient storage unit 1034. The potential calculation unit 10351 executes a process based on the data stored in the rotational coefficient storage unit 1034 and the data stored in the input data storage unit 101, and notifies a processing result to the first vector calculation unit 10352. The first vector calculation unit 10352 executes a process based on the result of the process of the potential calculation unit 10351 and the data stored in the input data storage unit 101, and stores a processing result in the vector data storage unit 1037. The second vector calculation unit 1036 executes a process based on the data stored in the rotational coefficient storage unit 1034 and the data stored in the input data storage unit 101, and stores a processing result in the vector data storage unit 1037. The determination unit 1038 executes a process based on the data stored in the vector data storage unit 1037, and updates the data stored in the input data storage unit 101 based on a processing result, or stores the processing result in the output data storage unit 104.

Next, the operation of the information processing device 1 will be described by using FIG. 4 to FIG. 12.

First, the processing unit 102 calculates, by using Expressions (1) to (6), a gradient vector g_(i)=−∂_(total)/∂dm_(i) with respect to each element i of the magnetic body as a target of the micro-magnetic simulation (FIG. 4: Step S1). In the calculation, there are used the data of the magnetization vector of each element and other data items such as data of k, K_(u), A, M_(s), and H_(appl) which are stored in the input data storage unit 101.

The processing unit 102 calculates a directional vector d_(i) with respect to each element i by using the gradient vector g_(i), the magnetization vector m_(i), and the like which are calculated in Step S1 (Step S3). This process is a well known process as an NCG process, and thus, the details thereof will not be described.

Then, the line search unit 103 executes the line search (Step S5). The line search will be described by using FIG. 5 to FIG. 9.

First, the decision unit 1031 of the line search unit 103 decides a search section including a magnetization vector rotational coefficient α which minimizes magnetic energy E_(total) based on the data stored in the input data storage unit 101 (FIG. 5: Step S11). The search section is defined by the upper limit and the lower limit of α. The decision unit 1031 stores information of the decided search section in the section data storage unit 1032. the outline of determining the search section is illustrated in FIG. 6. In FIG. 6, a vertical axis indicates E_(total)(α), and a horizontal axis indicates α. In Step S11, for example, first, an initial search section is suitably decided, and a process of widening the search section is executed until the sign of a differential coefficient of a start point of the search section is not coincident with the sign of a differential coefficient of an end point of the search section. In this case, a difference between the signs of the differential coefficients of both ends is a sufficient condition for an extremal value to be in the search section.

Then, the line search unit 103 executes a search process in the section (Step S13). The search process in the section will be described by using FIG. 7 to FIG. 9.

The outline of the search process in the section is illustrated in FIG. 8. In FIG. 8, a vertical axis indicates E_(total)(α), and a horizontal axis indicates α. The search process in the section is a process of searching the magnetization vector rotational coefficient α which minimizes the magnetic energy E_(total) (α).

First, the search unit 1033 of the line search unit 103 decides a (FIG. 7: Step S21), and stores the value of the decided a in the rotational coefficient storage unit 1034. In Step S21, for example, a is decided by a bisection method, a secant method, or the like.

The search unit 1033 determines whether or not a condition is satisfied in which a is in the search section and the width of the search section decided in Step S11 is less than or equal to a threshold value based on the information of the search section stored in the section data storage unit 1032 (Step S23).

In a case where the condition is not satisfied in which α is in the search section and the width of the search section decided in Step S11 is less than or equal to a threshold value (NO in Step S23), the search unit 1033 instructs the calculation unit 1035 to execute a process. According to this, the potential calculation unit 10351 calculates a static magnetic field potential of each element i according to Expression (7) based on the value of a stored in the rotational coefficient storage unit 1034 and the data, such the data of the magnetization vector, or the like, stored in the input data storage unit 101 (Step S25). Then, the first vector calculation unit 10352 calculates a static magnetic field vector of each element i from the static magnetic field potential of each element i according to Expression (6) based on the processing result of Step S25 (Step S27). The first vector calculation unit 10352 stores the data of the static magnetic field vector which is the processing result of Step S27 in the vector data storage unit 1037.

In contrast, in a case where the condition is satisfied in which a is in the search section and the width of the search section decided in Step S11 is less than or equal to a threshold value (Step S23: Yes Route), the search section process instructs the second vector calculation unit 1036 to execute a linear interpolation process. According to this, the second vector calculation unit 1036 executes the linear interpolation process (Step S29). The linear interpolation process will be described by using FIG. 9.

The linear interpolation process is a process of obtaining a static magnetic field vector according to the following expression without using a static magnetic field potential.

$\begin{matrix} {{H_{static}(\alpha)} = {\frac{1}{\alpha_{END} - \alpha_{STA}}\left\{ {{\left( {H_{{static}{(\alpha_{END})}} - H_{{static}{(\alpha_{STA})}}} \right)\alpha} + \left( {{\alpha_{END}H_{{static}{(\alpha_{STA})}}} - {\alpha_{STA}H_{{static}{(\alpha_{END})}}}} \right)} \right\}}} & (8) \end{matrix}$

Here, α_(STA) indicates the magnetization vector rotational coefficient α at the start point or the left end of the search section, and α_(END) indicates the magnetization vector rotational coefficient α at the end point or the right end of the search section. In a case where the search section is large, the accuracy of the interpolation decreases. Accordingly, the interpolation is performed only in a case where a |α_(STA)−α_(END)| is less than or equal to a threshold value. For example, in the program, in a case where the number of elements of the model is N, a static magnetic field vector H_(static) is three N-dimensional arrays with respect to an X axis component, a Y axis component, and a Z axis component of each element. α, α_(STA), and α_(END) are scalar variables, respectively. It is considered that in a case where the amount of change in the magnetization vector of each element is small, the amount of change in the static magnetic field vector is also small, and thus, the calculation using the expression (8) is able to be applied.

First, the second vector calculation unit 1036 sets a variable i indicating the element to be i=1 (Step S41 in FIG. 9).

The second vector calculation unit 1036 calculates the X axis component of the static magnetic field vector based on the value of a stored in the rotational coefficient storage unit 1034, the information of the search section stored in the section data storage unit 1032, and the like (Step S43). In Step S43, the X axis component of the static magnetic field vector is calculated by the following expression.

$\begin{matrix} {H_{x,i} = {\frac{1}{\alpha_{END} - \alpha_{STA}}\left\{ {{\left( {H_{x,i}^{END} - H_{x,i}^{STA}} \right)\alpha} + \left( {{\alpha_{END}H_{x,i}^{STA}} - {\alpha_{STA}H_{x,i}^{END}}} \right)} \right\}}} & (9) \end{matrix}$

Here, the X axis component of the static magnetic field vector at each of the ends of the search section is calculated in advance by using the static magnetic field potential before the process of Step S43.

The second vector calculation unit 1036 calculates the Y axis component of the static magnetic field vector based on the value of a stored in the rotational coefficient storage unit 1034, the information of the search section stored in the section data storage unit 1032, and the like (Step S45). In Step S45, the Y axis component of the static magnetic field vector is calculated by the following expression.

$\begin{matrix} {H_{y,i} = {\frac{1}{\alpha_{END} - \alpha_{STA}}\left\{ {{\left( {H_{y,i}^{END} - H_{y,i}^{STA}} \right)\alpha} + \left( {{\alpha_{END}H_{y,i}^{STA}} - {\alpha_{STA}H_{y,i}^{END}}} \right)} \right\}}} & (10) \end{matrix}$

Here, the Y axis component of the static magnetic field vector at each of the ends of the search section is calculated in advance from the static magnetic field potential before the process of Step S45.

The second vector calculation unit 1036 calculates the Z axis component of the static magnetic field vector based on the value of a stored in the rotational coefficient storage unit 1034, the information of the search section stored in the section data storage unit 1032, and the like (Step S47). In Step S47, the Z axis component of the static magnetic field vector is calculated by the following expression.

$\begin{matrix} {H_{z,i} = {\frac{1}{\alpha_{END} - \alpha_{STA}}\left\{ {{\left( {H_{z,i}^{END} - H_{z,i}^{STA}} \right)\alpha} + \left( {{\alpha_{END}H_{z,i}^{STA}} - {\alpha_{STA}H_{z,i}^{END}}} \right)} \right\}}} & (11) \end{matrix}$

Here, the Z axis component of the static magnetic field vector at each of the both ends of the search section is calculated in advance from the static magnetic field potential before the process of Step S47.

The second vector calculation unit 1036 determines whether or not i>N is established (Step S49). In a case where i>N is not established (NO in Step S49), the second vector calculation unit 1036 increases i by 1 (Step S51). Then, the procedure returns to the process of Step S43. In contrast, in a case where i>N is established (YES in Step S49), the second vector calculation unit 1036 stores the data of the calculated static magnetic field vector in the vector data storage unit 1037. Then, the procedure returns to the process before being called.

Returning to the description of FIG. 7, the determination unit 1038 calculates E(α) and E′(α) by using Expressions (1) to (5) based on the data of the static magnetic field vector stored in the vector data storage unit 1037 and the data stored in the input data storage unit 101 (Step S31).

The determination unit 1038 determines whether or not a Wolfe condition is satisfied (Step S33). The Wolfe condition is the following condition.

$\begin{matrix} {{Wolfe}\mspace{14mu} {condition}\text{:}\mspace{11mu} \begin{Bmatrix} {{{E(a)} - {E(0)}} \leq {{\delta\alpha}\; {E^{\prime}(0)}}} \\ {{E^{\prime}(\alpha)} \geq {\sigma \; {E^{\prime}(0)}}} \\ {0 < \delta \leq \sigma < 1} \end{Bmatrix}} & (12) \end{matrix}$

Accordingly, it is not always possible that the magnetic energy E_(total)(α) is strictly minimized, that is, dE_(total)/dα. In the Wolfe condition, δ is a parameter determining the upper limit of a satisfying the Wolfe condition, and σ is a parameter determining the lower limit of a satisfying the Wolfe condition.

In a case where the Wolfe condition is not satisfied (NO in Step S33), the procedure returns to the process of Step S21 in order to process the next a. In contrast, in a case where the Wolfe condition is satisfied (YES in Step S33), the procedure returns to the process before being called.

By executing a process described above, each magnetization vector is able to be rotated by using the magnetization vector rotational coefficient α which minimizes the magnetic energy E_(total)(α). Furthermore, the magnetization vector rotational coefficient α is in common for the entire element, and thus, the magnetic energy E_(total)(α) is a function of the magnetization vector rotational coefficient α as one variable

Returning to the description of FIG. 4, the processing unit 102 rotates the magnetization vector of each element i around a rotation axis V_(i)=d_(i)×m_(i) by an angle of rotation |αd_(i)| according to the right-hand rule (Step S7).

The processing unit 102 determines whether or not a residual error of the magnetization vector is less than or equal to a predetermined value (Step S9). The residual error in Step S9, for example, is the average value, the maximum value, or the like of the absolute value of the differential vector between the magnetization vector before rotation and the magnetization vector after rotation. In a case the residual error of the magnetization vector is not less than or equal to a predetermined value (NO in Step S9), the processing unit 102 updates the data of the magnetization vector stored in the input data storage unit 101 according to the data of the magnetization vector after rotation. Then, the procedure returns to the process of Step S1. In contrast, in a case where the residual error of the magnetization vector is less than or equal to a predetermined value (Step S9: Yes Route), the processing unit 102 stores the data of the magnetization vector after rotation in the output data storage unit 104. Then, the process ends.

As described above, in a case where the process of obtaining the static magnetic field vector is executed by the interpolation, it is possible to omit a part of a process of solving a linear simultaneous equation which is executed at the time of obtaining the static magnetic field vector from the static magnetic field potential. Accordingly, the calculation amount is able to be reduced, and a time desired until the simulation is completed is able to be shortened.

Shortening a time desired for the micro-magnetic simulation will be described by using FIG. 10 and FIG. 11. Here, it is considered the case in which calculation for obtaining a hysteresis curve of the magnetic body is performed.

FIG. 10 illustrates the details of the model. The model includes a main layer 1001 and a grain boundary layer 1002. Physical property values of the main layer 1001 are M_(s)=1.61 [T], A=1.25*10⁻¹¹ [J/m], and H_(k)=5.59*10⁶ [A/m]. Physical property values of the grain boundary layer 1002 are M_(s)=0.5 [T], A=6.0*10⁻¹² [J/m], and H_(k)=0.0 [A/m]. Here, M_(s) indicates saturation magnetization, A indicates an exchange coupling constant, and H_(k) indicates an anisotropic magnetic field.

FIG. 11 illustrates a magnetic coercive force calculated by hysteresis calculation, the number of times of performing calculation of the static magnetic field potential in a calculation process, and a calculation time. In FIG. 11, results of a case in which the calculation is executed by the method of this embodiment and a case in which the calculation is executed without using the method of this embodiment are illustrated. In a case where the magnetic coercive forces are the same value, it is considered that the accuracies of the calculation are the same degree, and thus, it is possible to shorten the calculation time by approximately 0.6 times while maintaining the accuracy of the calculation by using the method of this embodiment. Accordingly, by using the method of this embodiment, it is possible to execute the micro-magnetic simulation of a larger model in the same calculator.

FIG. 12 illustrates an M-H curve. In FIG. 12, a vertical axis indicates magnetization in T, and a horizontal axis indicates an external magnetic field in A/m. In FIG. 12, an aspect is illustrated in which in a case where the external magnetic field applied to a magnet becomes gradually stronger, the magnetization of the magnet reverses in a certain external magnetic field. By repeatedly executing the micro-magnetic simulation of this embodiment while changing external magnetization, it is possible to find properties as illustrated in FIG. 12.

One embodiment of the embodiment has been described, but the embodiment is not limited thereto. For example, there is a case where a functional block configuration of the information processing device 1 described above is not coincident with an actual program module configuration.

In addition, in the processing flow, the order of the process is able to be changed insofar as the processing result is not changed. Further, the processes may be executed in parallel.

Furthermore, the information processing device 1 described above is a computer device, and as illustrated in FIG. 13, a memory 2501, a central process unit (CPU) 2503 such as a processor, a hard disk drive (HDD) 2505, a display control unit 2507 to be connected to a display device 2509, a drive device 2513 for a removable disk 2511, an input device 2515, and a communication control unit 2517 for being connected to a network are connected to each other through a bus 2519. An operating system (OS), and an application and a program for executing the process of this example are stored in the HDD 2505, and are read out from the HDD 2505 to the memory 2501 at the time of being executed by the CPU 2503. The CPU 2503 controls the display control unit 2507, the communication control unit 2517, and the drive device 2513 according to the processing contents of the application and the program, and performs a predetermined operation. In addition, data in processing is mainly stored in the memory 2501, and may be stored in the HDD 2505. In an example of the embodiment, the application and the program for executing the process described above are stored and distributed in the computer readable removable disk 2511, and are installed in the HDD 2505 from the drive device 2513. There is a case where the application and the program are installed in the HDD 2505 through a network such as the internet and the communication control unit 2517. Such a computer device realizes various functions as described above by organically cooperating with hardware such as the CPU 2503 and the memory 2501 described above, OS, and a program such as the application and the program.

The summary of embodiments of the embodiment is as follows.

A magnetic body simulation device according to a first aspect of this embodiment includes,

(A) a decision unit which decides a search section of a rotational coefficient of a magnetization vector in process of calculating each rotational coefficient of a plurality of elements in process of calculating each magnetization vector of the plurality of elements in a state in which magnetic energy of a magnetic body including the plurality of elements is minimized, (B) a first determination unit which determines whether or not a first condition is satisfied in which a width of the search section decided by the decision unit is less than or equal to a predetermined length, and a first rotational coefficient decided by a predetermined method is included in the search section, and (C) a first calculation unit which calculates a static magnetic field vector corresponding to the first rotational coefficient by linear interpolation based on a static magnetic field vector with respect to both ends of the search section in a case in which the first determination unit determines that the first condition is satisfied.

Accordingly, it does not have to obtain the static magnetic field vector from the static magnetic field potential, and thus, it is possible to reduce the calculation amount of the micro-magnetic simulation.

In addition, the magnetic body simulation device described above may further include,

(D) a second calculation unit which calculates the magnetic energy of the magnetic body based on the static magnetic field vector calculated by the first calculation unit, and (E) a second determination unit which determines whether or not the magnetic energy which is calculated by the second calculation unit satisfies a second condition with respect to a magnitude of the magnetic energy, and outputs the first rotational coefficient in a case in which the magnetic energy satisfies the second condition. Accordingly, it is possible to execute a post-process in the NCG method by using the first rotational coefficient in a case where the calculated magnetic energy satisfies the second condition.

In addition, the magnetic body simulation device described above may further include,

(F) third calculation unit which calculates a static magnetic field vector corresponding to the first rotational coefficient according to a static magnetic field potential calculated based on each magnetization vector of the plurality of elements in a case in which the first determination unit determines that the first condition is not satisfied. Accordingly, in a case where it is not suitable that the static magnetic field vector is calculated by the linear interpolation (that is, the accuracy of the interpolation decreases), it is possible to calculate the static magnetic field vector by a normal method.

In addition, the first calculation unit described above may calculate (c1) the static magnetic field vector corresponding to the first rotational coefficient by dividing a sum of a first vector which is a vector in which a vector obtained by subtracting a static magnetic field vector with respect to an end point of the search section from a static magnetic field vector with respect to a start point of the search section is multiplied by the first rotational coefficient, and a second vector which is a vector in which a vector obtained by multiplying the static magnetic field vector with respect to the end point of the search section by the rotational coefficient with respect to the start point of the search section is subtracted from a vector obtained by multiplying the static magnetic field vector with respect to the start point of the search section by the rotational coefficient with respect to the end point of the search section, by a value obtained by subtracting the rotational coefficient with respect to the start point of the search section from the rotational coefficient with respect to the end point of the search section.

In addition, the predetermined method described above may be a bisection method and a secant method.

A micro-magnetization calculation method according to a second aspect of this embodiment includes,

(G) a process of deciding a search section of a rotational coefficient of a magnetization vector in process of calculating each rotational coefficient of a plurality of elements in process of calculating each magnetization vector of the plurality of elements in a state in which magnetic energy of a magnetic body including the plurality of elements is minimized, (H) a process of determining whether or not a first condition is satisfied in which a width of the search section decided by the decision unit is less than or equal to a predetermined length, and a first rotational coefficient decided by a predetermined method is included in the search section, and (I) a process of calculating a static magnetic field vector corresponding to the first rotational coefficient by linear interpolation based on a static magnetic field vector with respect to both ends of the search section in a case in which the first determination unit determines that the first condition is satisfied.

Furthermore, it is possible to prepare a program for allowing a computer or a processor to execute the process of the method described above, and the program, for example, is stored in a computer readable storage medium or a storage device such as a flexible disk, CD-ROM, a magnetooptical disk, a semiconductor memory, and a hard disk. Furthermore, an intermediate processing result is temporarily retained in a storage device such as a main memory.

All examples and conditional language recited herein are intended for pedagogical purposes to aid the reader in understanding the invention and the concepts contributed by the inventor to furthering the art, and are to be construed as being without limitation to such specifically recited examples and conditions, nor does the organization of such examples in the specification relate to a showing of the superiority and inferiority of the invention. Although the embodiment of the present invention has been described in detail, it should be understood that the various changes, substitutions, and alterations could be made hereto without departing from the spirit and scope of the invention. 

What is claimed is:
 1. A magnetic body simulation device comprising: a memory; and a processor coupled to the memory and the processor configured to, decide a search section for searching a rotational coefficient of each magnetization vector in a plurality of elements included in a magnetic body, in a process of calculating the each rotational coefficient in a state in which magnetic energy of the magnetic body is minimized, determine whether or not a first condition is satisfied in which a width of the decided search section is less than or equal to a certain length, and a first rotational coefficient decided by a predetermined method is included in the search section, and calculate, when the first condition is satisfied, a static magnetic field vector corresponding to the first rotational coefficient by linear interpolation based on static magnetic field vectors at both ends of the search section.
 2. The magnetic body simulation device according to claim 1, the processor further configured to, calculate the magnetic energy of the magnetic body based on the calculated static magnetic field vector; and determine whether or not the calculated magnetic energy satisfies a second condition with respect to a magnitude of the magnetic energy, and output the first rotational coefficient in a case in which the magnetic energy satisfies the second condition.
 3. The magnetic body simulation device according to claim 1, the processor further configured to, calculate, when the first condition is not satisfied, the static magnetic field vector corresponding to the first rotational coefficient by using a static magnetic field potential calculated based on each magnetization vector of the plurality of elements.
 4. The magnetic body simulation device according to claim 1, wherein the linear interpolation is performed by diving a sum of a first vector and a second vector by a value which is obtained by subtracting the rotational coefficient with respect to a start point of the search section from the rotational coefficient with respect to an end point of the search section, where the first vector is a vector which is obtained by multiplying the first rotational coefficient by a vector obtained by subtracting a static magnetic field vector with respect to the end point of the search section from a static magnetic field vector with respect to the start point of the search section, and the second vector is a vector which is obtained by subtracting a third vector form a fourth vector, the third vector being obtained by multiplying the static magnetic field vector with respect to the end point by the rotational coefficient with respect to the start point, the fourth vector being obtained by multiplying the static magnetic field vector with respect to the start point by the rotational coefficient with respect to the end point.
 5. The magnetic body simulation device according to claim 1, wherein the predetermined method is a bisection method or a secant method.
 6. A micro-magnetization calculation method comprising: deciding, by a processor, a search section for searching a rotational coefficient of each magnetization vector in a plurality of elements included in a magnetic body, in a process of calculating the each rotational coefficient in a state in which magnetic energy of the magnetic body is minimized; determining whether or not a first condition is satisfied in which a width of the decided search section is less than or equal to a certain length, and a first rotational coefficient decided by a predetermined method is included in the search section; and calculating, when the first condition is satisfied, a static magnetic field vector corresponding to the first rotational coefficient by linear interpolation based on static magnetic field vectors at both ends of the search section.
 7. A non-transitory computer-readable recording medium having stored therein a program for causing a computer to execute a process for a simulation of a magnetic body, the process comprising: deciding a search section for searching a rotational coefficient of each magnetization vector in a plurality of elements included in a magnetic body, in a process of calculating the each rotational coefficient in a state in which magnetic energy of the magnetic body is minimized; determining whether or not a first condition is satisfied in which a width of the decided search section is less than or equal to a certain length, and a first rotational coefficient decided by a predetermined method is included in the search section; and calculating, when the first condition is satisfied, a static magnetic field vector corresponding to the first rotational coefficient by linear interpolation based on static magnetic field vectors at both ends of the search section. 